RETAILER HETEROGENEITY IN OPTIMAL INFLATION IN KAZAKHSTAN

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dc.contributor.authorArgynbek, Asel
dc.date.accessioned2024-12-20T05:03:03Z
dc.date.available2024-12-20T05:03:03Z
dc.date.issued2024-12-11
dc.description.abstractThis paper studies the retailer heterogeneity in optimal inflation in Kazakhstan. Adam and Weber's (2022) relative price trend model is applied to AC Nielsen Urban Kazakhstan data for the 2019-2022 period. The results highlight significant variations in optimal rates across outlets, varying from -0.79 to 2.13%, suggesting the importance of retailers in estimating the national-level inflation rate. Also, the paper calculated national-level inflation in two ways: 1) by aggregating prices using equal weights for outlets and 2) by aggregating scanner data by weighting prices using product categories' expenditure weights for given outlets. Two approaches generate 4.9% and 1.6% optimal rate, respectively. This shows the importance of accounting for the expenditure weights of retailers in tailoring optimal inflation, and a uniform target may only partially capture pricing behavior across outlets.
dc.identifier.citationArgynbek, A. (2024). Retailer Heterogeneity in Optimal Inflation in Kazakhstan. Nazarbayev University Graduate School of Business
dc.identifier.urihttps://nur.nu.edu.kz/handle/123456789/8353
dc.language.isoen
dc.publisherNazarbayev University Graduate School of Business
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/
dc.subjectoptimal inflation
dc.subjectretailer heterogeneity
dc.subjectscanner data
dc.subjectexpenditure weights
dc.subjectrelative price trend
dc.subjectType of access: Embargo
dc.titleRETAILER HETEROGENEITY IN OPTIMAL INFLATION IN KAZAKHSTAN
dc.typeMaster`s thesis

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